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Data visualization

Assignment 1 Instruction:

Select 4 out of 8 visualization types listed below: for the 4 types you select, find 2 good visualization examples and 2 bad visualization examples from any resources. Types cannot be repeated but you can decide which type is associated with “good” examples and which type is associated with “bad” examples.
Explain why you think it is a good/bad visualization.
Save and upload both visualization, explanation and proper citation into a PDF file named YourLastName_Assignment1 under “Assignment 1”.

Choropleth
Dot distribution map
Polar area diagram
Dendrogram
Ring chart
Tree diagram
Alluvial diagram
Node-Link Diagram

Total 100 points:

Follow the instruction (5 points)
Good visualization 1 + explanation (20 points)
Good visualization 2 + explanation (20 points)
Bad visualization 1 + explanation (20 points)
Bad visualization 2 + explanation (20 points)
Proper Citation (15 points)

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Data Visualization

DATA REPRESENTATION

(1). FORENSIC DESIGN ASSESSMENTS

This task relates to a sequence of assessments that will be repeated across Chapters 6, 7, 8, 9 and 10. Select any example of a visualisation or infographic, maybe your own work or that of others. The task is to undertake a deep, detailed ‘forensic’ like assessment of the design choices made across each of the five layers of the chosen visualisation’s anatomy. In each case your assessment is only concerned with one design layer at a time.

 

For this task, take a close look at the data representation choices:

 

Start by identifying all the charts and their types

 

How suitable do you think the chart type choice(s) are to display the data? If they are not, what do you think they should have been?

 

Are the marks and, especially, the attributes appropriately assigned and accurately portrayed?

 

Go through the set of ‘Influencing factors’ from the latter section of the book’s chapter to help shape your assessment and to possibly inform how you might tackle this design layer differently

 

Are there any data values/statistics presented in table/raw form that maybe could have benefited from a more visual representation?

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